详细会议介绍参看往期文章： （点击蓝字跳转） 报名开启｜顶流期刊征+2025智能机器人关键技术大会盛会将至！ 9大期刊联合征文｜投稿2025智能机器人关键技术大会，年底正刊发表！ 老旧工业机器人也能焕发 " 高精度 " 新生！英国诺丁汉大学研究人员开发出一套创新解决方案，通过集成激光跟 踪器和高分辨率夹持器，成功将老旧工业机器人的定位精度大幅提升 82% ，同时显著降低企业升级换代成本。该 成果为制造业提质增效提供了新路径。 工业机器人是现代制造业的骨干力量，广泛应用于搬运、焊接、喷涂、检测等多个领域。然而，随着服役年限增 长，其定位精度往往下降，影响产品质量和生产效率。直接更换成本高昂，且涉及复杂的软件适配和生产线调 整，导致大量老旧机器人仍在 " 超期服役 " 。 针对这一行业痛点，诺丁汉大学研究团队提出了一种 " 最小化改造、最大化提升 " 的策略：为原有的六自由度工 业机器人 " 嫁接 " 一个具有更高运动分辨率（即最小移动距离更小）的主动夹持器，将其升级为七自由度系统。 最关键的一步，是引入工业级激光跟踪器 。 " 激光跟踪器如同为机器人装上了 ' 高精度眼睛 ' ， " 研究人员 解释道， " 它 ...

Core Points - The "2025 Intelligent Robot Key Technology Conference" will be held from July 22-24, 2025, in Qiqihar City, focusing on the integration and breakthroughs in embodied intelligence and multimodal interaction technology [1][4]. - The conference aims to facilitate communication among young researchers, including master's and doctoral students, in the field of intelligent robotics [2]. - The event is supported by several prominent organizations and institutions, including the Chinese Automation Society and the Chinese Academy of Sciences [3]. Conference Details - The conference will feature keynote speeches from leading scholars and industry leaders, specialized forums on various topics, a technology exhibition, and a platform for academia-industry collaboration [4]. - Key topics include humanoid robots, medical robotics, ethical considerations, and core component innovation [4]. - The conference will also include a call for papers, with accepted submissions to be published in various high-impact journals by the end of 2025 [7]. Registration Information - Registration is open until July 21, 2025, with different fees for students, general attendees, and corporate representatives [8][9]. - The registration fee includes meals and conference materials, while accommodation and transportation costs are the responsibility of the attendees [9][10]. - Payment must be made in advance, and refunds are subject to specific conditions [10]. Organizational Structure - The conference is organized by a committee comprising various experts and scholars from leading universities and research institutions [5][6]. - Notable invited speakers include academicians and professors from prestigious institutions, enhancing the conference's academic credibility [6].

Core Viewpoint - The article discusses the limitations of traditional visual sensors and LiDAR in autonomous mobile robots, particularly in detecting obstacles in blind spots and transparent objects. It introduces a haptic-assisted navigation vehicle (HANV) that integrates haptic sensors with LiDAR to enhance obstacle detection capabilities in challenging environments [13]. Summary by Sections Limitations of Traditional Sensors - Advanced robots face "blind spot" issues similar to those encountered in driving, where certain areas cannot be fully covered by sensors like LiDAR and cameras [4]. - Specific challenges include: - Transparent obstacles, such as glass and plastic, which are difficult for LiDAR and cameras to detect [6]. - Narrow spaces where the detection range of LiDAR is limited, leading to blind spots [6]. - Low-light environments that hinder camera performance in capturing clear images [6]. Introduction of Haptic Sensors - Haptic sensors are developed to address these limitations, functioning like the "skin" of robots to sense the surrounding environment and provide tactile feedback for obstacle detection [7]. - These sensors are made from soft materials that deform upon contact with obstacles, sending voltage signals to the robot for analysis [8]. Advantages of Haptic Sensors - Haptic sensors offer several benefits: - They cover the entire body of the robot, compensating for blind spots created by traditional sensors [11]. - They operate independently of environmental conditions, such as lighting and the presence of transparent objects [11]. - They provide rapid obstacle detection, enhancing the robot's ability to avoid collisions [11]. Applications of Haptic Sensors - Haptic sensors are being applied in various robotic fields, including: - Autonomous vehicles, improving obstacle detection for safer driving [11]. - Service robots, enhancing their understanding of the environment for better service delivery [11]. - Industrial robots, allowing for more precise operations and increased production efficiency [11]. Conclusion - The integration of haptic sensors with traditional sensors significantly improves the ability of robots to navigate complex environments, particularly in scenarios where traditional systems fall short. This advancement is expected to lead to broader applications and innovations in robotics [10].

Core Viewpoint - The article highlights the significance of the ROBOTAC competition in promoting robotics technology and talent development in China, emphasizing its role as a platform for innovation and collaboration in the field of robotics [7][9]. Group 1: Event Overview - The 24th National College Student Robotics Competition (ROBOTAC) commenced on June 24, featuring 183 teams from 71 universities, showcasing a blend of robotics technology and cultural themes [1][3]. - The competition is recognized as a national-level event and has been included in the evaluation system for college competitions since 2019 [3]. Group 2: Competition Details - The competition includes diverse and challenging events such as first-person perspective combat, speed challenge, unconventional foot racing, and humanoid kung fu fighting, testing various technical skills and teamwork [5]. - An international education industry forum is also part of the event, aimed at fostering global resource connections and promoting technological exchange and collaboration [5]. Group 3: Industry Impact - Robotics technology is viewed as a critical driver of industrial transformation and a measure of national technological strength, with the ROBOTAC competition serving as a breeding ground for outstanding engineers [9]. - The event is not merely a sports competition but a fusion of technology and athletics, allowing participants to experience the charm of technology through practical engagement [7]. Group 4: Future Development - The venue, Jiahhe Happiness New City, aims to become a hub for innovation and talent, integrating advanced technologies like humanoid robots and artificial intelligence into urban development [11][13]. - The local government is committed to creating a conducive environment for young talents to thrive and realize their entrepreneurial dreams [13].

Group 1 - The 2025 Intelligent Robot Key Technology Conference is set to open for registration, offering high exposure for business cooperation and opportunities for new ventures [1] - The Ministry of Industry and Information Technology announced the list of candidates for the 2025 National Science and Technology Awards, with 31 projects proposed for nomination [1] - The conference will feature joint calls for papers from nine major journals, with publication in the year-end issue [1] Group 2 - The 2024 annual reports of 75 listed robot companies have been released, highlighting key performances and trends in the industry [3] - The 2023 annual reports of 55 listed robot companies show mixed results, indicating an intensifying industry reshuffle [3] - Insights from industry experts, including academicians, discuss the challenges and advancements in humanoid robot development and the future trends in embodied intelligence [3][4]

Core Insights - The seminar focused on the theme of "data-driven and ecological integration," highlighting the rapid development phase of embodied intelligence, which merges artificial intelligence and robotics technology [1][8] - The establishment of the Embodied Intelligence Testing Laboratory Consortium aims to address issues such as distorted testing indicators and scene misalignment, providing a systematic testing capability for the industry [3][8] - The release of the Embodied Intelligence Talent Map 1.0 outlines the unique skill requirements for talent in this sector, differentiating it from traditional AI and robotics roles [5][8] Group 1: Seminar Highlights - The seminar was guided by the Beijing Municipal Bureau of Economy and Information Technology and featured participation from various industry innovation centers and core enterprises [1] - Key discussions revolved around four core areas: data, testing, application, and education-industry collaboration, aimed at facilitating the last mile of technology implementation [1][8] - Experts from various fields shared insights on the challenges and advancements in embodied intelligence, emphasizing the need for collaborative innovation [7][8] Group 2: Testing Laboratory Consortium - The consortium was initiated by the Beijing Humanoid Robot Innovation Center and includes participation from several authoritative research and testing institutions, as well as leading companies in the field [3] - Future plans include the establishment of testing bases, development of testing standards, and creation of technical research groups to enhance the testing and application of embodied intelligence [3][8] - The consortium aims to create a closed loop of "testing - standards - application," accelerating technological evolution and reducing compliance costs in the industry [3][8] Group 3: Talent Map 1.0 - The talent map covers six key areas: strategy and management, research design and algorithms, engineering development and implementation, testing production and supply chain, commercialization services, and functional support platforms [5][6] - It identifies specific skill requirements such as multimodal perception integration and algorithm optimization in real-world scenarios, addressing the talent gap in the rapidly growing sector [5][8] - The map aims to provide clear job definitions and competency standards, promoting standardized vocational skill certification and talent evaluation systems [5][8]

Core Viewpoint - The article discusses the downfall of *ST Gongzhi (000584.SZ), which transitioned from a traditional enterprise to a robotics company but ultimately faced delisting due to continuous financial losses and governance failures [5][9][12]. Group 1: Company Transformation and Challenges - In 2017, the company, formerly known as Youli Holdings, acquired Tianjin Fuzhen Industrial Equipment Co., Ltd. for 900 million yuan, rebranding itself as Harbin Intelligent [8]. - Despite initial high hopes for transformation into a high-end manufacturing entity, the company has faced increasing competition, declining profit margins, and significant financial losses, totaling 1.99 billion yuan over four years from 2021 [10][12]. - The failure to complete a crucial share transfer to its controlling shareholder, Harbin Institute of Technology Robotics Group (now known as Yange Group), further weakened the company's support and resources [10][12]. Group 2: Financial Mismanagement - The company reported a staggering 91% asset-liability ratio in Q1 2025, indicating severe financial distress and loss of operational viability [14]. - Auditors issued "unable to express opinion" reports for two consecutive years, revealing significant issues in revenue recognition and complex financial networks involving substantial investments in private equity funds [11][13]. - The company’s revenue recognition methods were criticized, with 19.36 billion yuan reported in 2024, but the authenticity of this figure was questioned due to accounting irregularities [13]. Group 3: Governance Issues - In 2024, independent directors collectively abstained from voting on the annual report, citing failures in corporate governance and lack of compliance in handling raised funds [16][17]. - The real controller, Aidi, faced legal issues due to unpaid debts, further complicating the company's governance structure and leading to regulatory scrutiny [17][20]. - Internal control audits revealed systemic failures in investment management and revenue recognition policies, undermining the reliability of financial reporting [17][18]. Group 4: Strategic Failures - The company engaged in high-premium acquisitions, including a 900 million yuan purchase of Tianjin Fuzhen, which did not yield the expected financial returns, leading to significant goodwill impairments [18][19]. - Strategic shifts, including attempts to pivot towards military and lithium battery sectors, failed to stabilize the company's financial situation, exacerbating its decline [21][22]. - The company’s inability to establish a solid technological foundation in the robotics sector led to a lack of market confidence and ultimately contributed to its delisting [23].

Core Viewpoint - The article highlights the significant advancements and opportunities in the intelligent equipment industry in Taizhou, emphasizing the establishment of a new inspection and certification committee and the collaborative efforts to enhance the industry through innovation and policy support [3][4][6]. Group 1: Event Overview - The "2025 Taizhou Intelligent Equipment Industry Promotion Conference" was held in Beijing, marking a new starting point for national industry cooperation and technological innovation in the intelligent equipment sector [3]. - The event gathered representatives from government, industry, academia, and research, showcasing a strong collaborative spirit [3]. Group 2: Government and Association Initiatives - The Taizhou government is committed to promoting industrial upgrades and optimizing the business environment, as emphasized by local officials [4]. - The China Electromechanical Integration Technology Application Association aims to leverage professional resources to support Taizhou in creating a "Chinese solution" for intelligent manufacturing through three major initiatives: technology innovation accelerator, industry upgrade catalyst, and ecosystem builder [4]. Group 3: Advantages of Taizhou's Intelligent Equipment Industry - Taizhou boasts a strategic location within the Yangtze River Delta's "one-hour economic circle," with a robust transportation network and significant port capacity [5]. - The city has a solid industrial foundation, with 2,197 national high-tech enterprises and 10 national manufacturing champions across various sectors [5]. - Taizhou is positioned to capture over 20 billion yuan in intelligent equipment demand over the next three years, supported by favorable policies and substantial financial incentives [5]. Group 4: Key Outcomes of the Event - The establishment of the Inspection and Certification Committee will enhance industry standards and support the transition of Taizhou's intelligent equipment industry towards higher-end and smarter solutions [6]. - A collaborative agreement was signed to build a testing and certification base for robots and key components, involving multiple stakeholders, which will provide essential support for quality improvement in the industry [6]. - The event showcased six representative industry-academia cooperation projects and six industrialization cooperation projects, inviting further collaboration within the sector [6].

Core Viewpoint - Non-Xi Technology has completed a Series C financing round of over 100 million USD, which will be used for expansion, research and development, and ecosystem development [1][3]. Group 1: Company Overview - Non-Xi Technology, founded in 2016, is a global leader in general-purpose intelligent robotics, focusing on adaptive robots and a comprehensive technology system [3][5]. - The company has developed a unique "adaptive robot" category, enhancing robots' capabilities to handle complex tasks through advanced control and coordination systems [3][5]. Group 2: Financing and Growth - The Series C financing was led by Yonggui Fund and GF Xinde, with participation from several other investors, indicating strong market confidence in Non-Xi's growth potential [1][6]. - The financing marks a significant acceleration in Non-Xi's commercialization phase, providing a solid foundation for product expansion and technological exploration [3][5]. Group 3: Industry Impact and Standards - Non-Xi actively participates in industry standard-setting, having led the development of national standards for adaptive robot capabilities, filling a gap in both domestic and international standards [5][6]. - The company has achieved significant growth by transitioning from single-point validation to multi-industry replication, entering a phase of accelerated growth [5][6]. Group 4: Market Applications - Non-Xi has served numerous leading global clients across various industries, including 3C electronics, automotive, food agriculture, and healthcare, demonstrating its technology's versatility and reliability [5][6]. - The company is leveraging its capabilities to build cross-industry robotic infrastructure, providing innovative solutions and value to global partners [5][6].

Core Viewpoint - The article highlights the significant financing and technological advancements in the humanoid robotics sector, particularly focusing on the company Galaxy General, which has achieved notable milestones in funding and product development [3][5]. Financing and Investment - Galaxy General completed a financing round of 1.1 billion RMB, led by CATL and other notable investors, marking the largest single financing in the domestic humanoid robotics sector to date [3]. - Since its establishment in May 2023, Galaxy General has raised over 2.4 billion RMB across six financing rounds, positioning it as a leading player among humanoid robotics startups in China [3]. - The company has achieved a valuation of 1 billion USD, categorizing it as a "unicorn" in the industry [5]. Product Development and Technology - Galaxy General launched its first generation of wheeled humanoid robot, Galbot G1, which features a unique structure to ensure stability and cost-effectiveness [6]. - The company has developed a foundational model for embodied intelligence, GraspVLA, which utilizes synthetic data for training, enabling zero-shot generalization capabilities [6][7]. - The robot has been deployed in smart pharmacy scenarios, capable of recognizing and retrieving 5,000 different SKUs of medications [7][8]. Industry Collaborations and Applications - Galaxy General has formed partnerships with major companies in the automotive industry, including Bosch and several car manufacturers, to develop applications for embodied intelligence in complex manufacturing scenarios [8][10]. - The company is also collaborating with Meituan to implement its robots in various pharmacy locations, aiming to expand its operational footprint [7][9]. Team and Leadership - The founding team of Galaxy General combines expertise from academia and industry, with backgrounds in robotics and artificial intelligence [5]. - The CEO, Yin Fangming, is recognized for his previous investment in another leading robotics company, indicating a strong leadership presence in the sector [5].